Flutter & Image Segmentation - Remove & Change Backgrounds

Build an AI-powered Flutter app to remove and replace image backgrounds using on-device image segmentation — no internet

What you'll learn
- Use an on-device image segmentation model in Flutter with no internet or paid APIs
- Build a full-featured Flutter app that removes and replaces image backgrounds
- Understand how image segmentation works and its real-world applications
- Apply transparent and custom backgrounds to segmented images
- Save the transparent or edited images to the device gallery
- Add smooth animations when removing image backgrounds
- Implement sharing features to send edited images directly from the app
- Build a complete AI-powered mobile app in Flutter from scratch

Requirements
- A Windows, macOS, or Linux system for development

Description
Are you ready to build a smart, real-world Flutter app powered byon-device AI?

In this course, you’ll learn step-by-step how to build afully functional background remover and editor appusingImage Segmentation in Flutter— no paid APIs, no server processing, just pure offline ML magic!

You’ll integrate aImage Segmentation modelsthat can understand every pixel of an image — separating the subject from the background with incredible accuracy. From there, you’ll build stunning features like:

Making the image background transparent

Replacing the background with beautiful presets (beach, city, gradients, etc.)

Adding animated transitions and effects

Saving and sharing edited images — all within your Flutter app

What You’ll Build

A complete AI-powered mobile app that:

Let's users select or capture a photo

Automatically removes the background using an ML model

Offers multiple background replacement options

Allows saving or sharing the final result

Works completely offline — fast and private!

Key Concepts Covered

Image Segmentation in Flutter using TFLite

Custom image editing UI in Flutter

Capturing and picking images from gallery/camera

Pixel-level background removal

Dynamic background replacement

Smooth animations for UI interactions

Saving and sharing files on device

Offline AI with no internet dependency

Who This Course Is For

Flutter developers eager to integrate real-world machine learning

Beginners looking to expand into AI-powered mobile development

Mobile app creators building tools like photo editors, social media filters, or AR features

Anyone excited about combining Flutter and on-device AI to build smart, creative apps

Technologies Used

Flutter & Dart

TensorFlow Lite (TFLite)for image segmentation

Camera & Image Pickerplugins

Animationsandstate management

File saving & sharingin Flutter

By the End of This Course, You’ll Be Able To:

Implement image segmentation using TFLite in Flutter

Build smart, offline-capable image editing features

Replace and blend backgrounds with dynamic content

Deliver polished user experiences with animations and sharing options

Create production-ready ML features inside a mobile app

Whether you're a beginner in Flutter or an experienced developer exploringAI and image processing, this course is your gateway to building creative, intelligent apps.

Let’s dive in and start building your AI-powered background remover app — completely from scratch!

Who this course is for:
- Anyone who wants to build an AI-powered background remover app without relying on paid APIs or cloud services
- Beginners in Flutter who are ready to take their skills to the next level with real-world projects
- Flutter developers who want to integrate AI and machine learning features into their apps
- Students and tech enthusiasts curious about ML in mobile development
- Developers interested in building offline-capable AI apps in Flutter
- Mobile app developers looking to explore on-device image segmentation
More Info